course-content-dl
coursera-deep-learning-specialization
| course-content-dl | coursera-deep-learning-specialization | |
|---|---|---|
| 4 | 112 | |
| 715 | 2,711 | |
| 1.8% | - | |
| 8.4 | 6.4 | |
| about 1 month ago | 29 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Creative Commons Attribution 4.0 | - |
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course-content-dl
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Is deep learning really so annoying?
Can highly recommend the NeuroMatch Deep Learning course: https://deeplearning.neuromatch.io/ It’s a summer school, but all the content is available free, open source for you to do it whenever you want to.
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AskScience AMA Series: We are seven leading scientists specializing in the intersection of machine learning and neuroscience, and we're working to democratize science education online. Ask Us Anything about computational neuroscience or science education!
https://github.com/NeuromatchAcademy/course-content https://github.com/NeuromatchAcademy/course-content-dl
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We are Konrad Kording, Megan Peters, Brad Wyble, Dan Goodman, Gunnar Blohm, and Sean Escola, and we're a group of scientists who started a major, international online summer school aiming to democratize science education and make it accessible to all. Ask Us Anything!
If you'd like to learn more about it, you can check out last year's Comp Neuro course contents here, last year's Deep Learning course contents here, read the paper we wrote about the original NMA here, read our Nature editorial, or the Lancet article00074-0/fulltext) about us.
coursera-deep-learning-specialization
What are some alternatives?
course-content - NMA Computational Neuroscience course
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
awesome-machine-unlearning - Awesome Machine Unlearning (A Survey of Machine Unlearning)
stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]
deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.
Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.
start-machine-learning - A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
Soevnn - A neural net with a terminal-based testing program.
Respiratory-Disease-Coughing-Dataset-CNN - A collection of coughing audio files from Coswara, Coughvid, and Virufy as well as generated spectrograms for the use of machine learning
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
neural-style-transfer - :paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm